Triple
T318401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara |
E7758
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Bärbel
Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
|
E47273
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bärbel | Statement: [Barbara, hasVariant, Bärbel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bärbel Context triple: [Barbara, hasVariant, Bärbel]
-
A.
Armgard von Cramm
Armgard von Cramm was a German noblewoman best known as the mother of Prince Bernhard of the Netherlands and thus grandmother of former Dutch Queen Beatrix.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Anna von Bönninghausen
Anna von Bönninghausen was a 17th-century German noblewoman best known as the mother of Bernhard von Galen, the influential Prince-Bishop of Münster.
-
D.
Beata Beatrix
Beata Beatrix is a celebrated painting by Dante Gabriel Rossetti that portrays a trance-like Beatrice and exemplifies the spiritual, symbolic style of the Pre-Raphaelite movement.
-
E.
Luise
Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bärbel Triple: [Barbara, hasVariant, Bärbel]
Generated description
Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bärbel Target entity description: Bärbel is a German feminine given name, commonly used as a diminutive or variant of Barbara.
-
A.
Armgard von Cramm
Armgard von Cramm was a German noblewoman best known as the mother of Prince Bernhard of the Netherlands and thus grandmother of former Dutch Queen Beatrix.
-
B.
Bettina
Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
-
C.
Anna von Bönninghausen
Anna von Bönninghausen was a 17th-century German noblewoman best known as the mother of Bernhard von Galen, the influential Prince-Bishop of Münster.
-
D.
Beata Beatrix
Beata Beatrix is a celebrated painting by Dante Gabriel Rossetti that portrays a trance-like Beatrice and exemplifies the spiritual, symbolic style of the Pre-Raphaelite movement.
-
E.
Luise
Luise is a given name, primarily used in German-speaking countries, that corresponds to the English and French name Louise.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea67b7588190be394a56498758b6 |
completed | Feb. 28, 2026, 1:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a0fd6081908b672fe7106a0c74 |
completed | March 1, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69a3f1a9e5188190b79c5e459eb68be4 |
completed | March 1, 2026, 7:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f1fad5c08190a2c50f17570e6abc |
completed | March 1, 2026, 7:59 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.